Senior Vision AI Engineer

About the Role

We are looking for a Senior Vision AI Engineer to architect, lead, and deliver advanced Computer Vision, Deep Learning, and Perception solutions for real-time intelligent systems.

The ideal candidate should have solid technical leadership and hands-on engineering expertise, with proven experience building production-grade AI products. Experience in ADAS, autonomous systems, smart cameras, industrial vision, or Edge AI is preferred.

You will mentor engineers, influence architecture decisions, and work closely with cross-functional teams to build high-performance, scalable Vision AI pipelines.

Key Responsibilities

1. Vision AI & Deep Learning
- Design, develop, and optimize end-to-end Computer Vision pipelines, including pre-processing, inference, and post-processing.
- Build and deploy real-time models for object detection, object tracking, image segmentation, calibration, and image classification.
- Train, fine-tune, and evaluate deep learning models using PyTorch, TensorFlow, and ONNX.




- Develop robust image and video processing algorithms, including feature extraction and classical Computer Vision techniques.

2. Edge AI & Embedded Deployment
- Optimize and deploy AI models on edge platforms such as NVIDIA Jetson and Qualcomm platforms, using DSP/GPU/NPU accelerators.
- Convert and optimize models using TensorRT, ONNX Runtime, QNN, quantization, pruning, and other optimization techniques.
- Develop high-performance C++ (14/17/20) modules for embedded Computer Vision applications.

3. System Design & Architecture
- Architect scalable and modular Computer Vision systems using OOAD, SOLID principles, design patterns, and UML.
- Define data flows, pipeline architecture, CPU/GPU/NPU execution strategies, and system integration approaches.
- Collaborate with hardware, systems, and product teams to ensure real-time performance, reliability, and scalability.

4. Technical Leadership & Mentoring
- Mentor junior and mid-level

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